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ORCIDCarlos Francisco Moreno-García
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2020 – today
- 2024
[j16]Laura Jamieson, Carlos Francisco Moreno-García
, Eyad Elyan:
A review of deep learning methods for digitisation of complex documents and engineering diagrams. Artif. Intell. Rev. 57(6): 136 (2024)- [j15]Regina Ofori-Boateng, Magaly Aceves-Martins, Nirmalie Wiratunga, Carlos Francisco Moreno-García:
Towards the automation of systematic reviews using natural language processing, machine learning, and deep learning: a comprehensive review. Artif. Intell. Rev. 57(8): 200 (2024) - [j14]Regina Ofori-Boateng, Tamy Goretty Trujillo-Escobar, Magaly Aceves-Martins, Nirmalie Wiratunga, Carlos Francisco Moreno-García:
Enhancing systematic reviews: An in-depth analysis on the impact of active learning parameter combinations for biomedical abstract screening. Artif. Intell. Medicine 157: 102989 (2024) - [j13]Truong Dang, Tien Thanh Nguyen, John A. W. McCall, Eyad Elyan, Carlos Francisco Moreno-García:
Two-layer Ensemble of Deep Learning Models for Medical Image Segmentation. Cogn. Comput. 16(3): 1141-1160 (2024) - [c40]Regina Ofori-Boateng, Magaly Aceves-Martins, Nirmalie Wiratunga, Carlos Francisco Moreno-García:
Enhancing Abstract Screening Classification in Evidence-Based Medicine: Incorporating Domain Knowledge into Pre-trained Models. AIME (1) 2024: 261-272 - [c39]Laura Jamieson, Carlos Francisco Moreno-García, Eyad Elyan:
A Multiclass Imbalanced Dataset Classification of Symbols from Piping and Instrumentation Diagrams. ICDAR (1) 2024: 3-16 - [c38]Regina Ofori-Boateng, Magaly Aceves-Martins, Nirmalie Wiratunga, Carlos Francisco Moreno-García:
A Zero-Shot Monolingual Dual Stage Information Retrieval System for Spanish Biomedical Systematic Literature Reviews. NAACL-HLT 2024: 3725-3736 - [c37]Regina Ofori-Boateng, Magaly Aceves-Martins, Nirmalie Wiratunga, Carlos Francisco Moreno-García:
Extended Results for Enhancing Abstract Screening Classification in Evidence-Based Medicine: Incorporating Domain Knowledge into Pre-trained Models. SICSA REALLM 2024: 11-18 - 2023
- [c36]Luis Alberto Toral-Quijas, Eyad Elyan, Carlos Francisco Moreno-García, Jan Stander:
Digital Transformation for Offshore Assets: A Deep Learning Framework for Weld Classification in Remote Visual Inspections. EANN 2023: 217-226 - [c35]Pamela Johnston, Mark Zarb, Carlos Francisco Moreno-García:
Student Interaction with a Virtual Learning Environment: An Empirical Study of Online Engagement Behaviours During and Since the Time of COVID-19. FIE 2023: 1-8 - [c34]Craig Pirie, Nirmalie Wiratunga, Anjana Wijekoon, Carlos Francisco Moreno-García:
AGREE: A Feature Attribution Aggregation Framework to Address Explainer Disagreements with Alignment Metrics. ICCBR Workshops 2023: 184-199 - [c33]Regina Ofori-Boateng, Magaly Aceves-Martins, Chrisina Jayne, Nirmalie Wiratunga, Carlos Francisco Moreno-García:
Evaluation of Attention-Based LSTM and Bi-LSTM Networks For Abstract Text Classification in Systematic Literature Review Automation. INNS DLIA@IJCNN 2023: 114-126 - 2022
- [j12]Daniela Magallan-Ramirez, Jorge David Martinez-Aguilar, Areli Rodriguez-Tirado, David Balderas, Edgar Omar López-Caudana, Carlos Francisco Moreno-García:
Implementation of NAO Robot Maze Navigation Based on Computer Vision and Collaborative Learning. Frontiers Robotics AI 9: 834021 (2022) - [c32]Adamu Ali-Gombe, Eyad Elyan, Carlos Francisco Moreno-García, Chrisina Jayne:
Cross Domain Evaluation of Text Detection Models. ICANN (3) 2022: 50-61 - [c31]Md. Mostafa Kamal Sarker, Carlos Francisco Moreno-García, Jinchang Ren, Eyad Elyan:
TransSLC: Skin Lesion Classification in Dermatoscopic Images Using Transformers. MIUA 2022: 651-660 - [c30]Elena Rica, Susana Álvarez, Carlos Francisco Moreno-García, Francesc Serratosa:
Zero-Error Digitisation and Contextualisation of Piping and Instrumentation Diagrams Using Node Classification and Sub-graph Search. S+SSPR 2022: 274-282 - [i2]Carlos Francisco Moreno-García, Francesc Serratosa:
A General Framework for Partial to Full Image Registration. CoRR abs/2207.06387 (2022) - 2021
- [j11]Eyad Elyan, Carlos Francisco Moreno-García, Chrisina Jayne:
CDSMOTE: class decomposition and synthetic minority class oversampling technique for imbalanced-data classification. Neural Comput. Appl. 33(7): 2839-2851 (2021) - [c29]Truong Dang, Tien Thanh Nguyen, Carlos Francisco Moreno-García, Eyad Elyan, John A. W. McCall:
Weighted Ensemble of Deep Learning Models based on Comprehensive Learning Particle Swarm Optimization for Medical Image Segmentation. CEC 2021: 744-751 - [c28]Craig Pirie, Carlos Francisco Moreno-García:
Image Pre-processing and Segmentation for Real-Time Subsea Corrosion Inspection. EANN 2021: 220-231 - [c27]Adamu Ali-Gombe, Eyad Elyan, Carlos Francisco Moreno-García, Johan Zwiegelaar:
Face Detection with YOLO on Edge. EANN 2021: 284-292 - [c26]Luis Toral, Carlos Francisco Moreno-García, Eyad Elyan, Shahram Memon:
A Deep Learning Digitisation Framework to Mark up Corrosion Circuits in Piping and Instrumentation Diagrams. ICDAR Workshops (2) 2021: 268-276 - [c25]Carlos Francisco Moreno-García, Chrisina Jayne, Eyad Elyan:
Class-Decomposition and Augmentation for Imbalanced Data Sentiment Analysis. IJCNN 2021: 1-7 - [i1]Truong Dang, Tien Thanh Nguyen, John McCall, Eyad Elyan, Carlos Francisco Moreno-García:
Two layer Ensemble of Deep Learning Models for Medical Image Segmentation. CoRR abs/2104.04809 (2021) - 2020
- [j10]Elena Rica, Carlos Francisco Moreno-García, Susana Álvarez, Francesc Serratosa:
Reducing human effort in engineering drawing validation. Comput. Ind. 117: 103198 (2020) - [j9]Carlos Francisco Moreno-García, Francesc Serratosa, Xiaoyi Jiang:
Correspondence edit distance to obtain a set of weighted means of graph correspondences. Pattern Recognit. Lett. 134: 29-36 (2020) - [c24]Areli Rodriguez-Tirado, Daniela Magallan-Ramirez, Jorge David Martinez-Aguilar, Carlos Francisco Moreno-García, David Balderas, Edgar Omar López-Caudana:
A pipeline framework for robot maze navigation using computer vision, path planning and communication protocols. DeSE 2020: 152-157 - [c23]Eyad Elyan, Carlos Francisco Moreno-García, Pamela Johnston:
Symbols in Engineering Drawings (SiED): An Imbalanced Dataset Benchmarked by Convolutional Neural Networks. EANN 2020: 215-224 - [c22]Carlos Francisco Moreno-García, Truong Dang, Kyle Martin, Manish Patel, Andrew Thompson, Lesley Leishman, Nirmalie Wiratunga:
Assessing the Clinicians' Pathway to Embed Artificial Intelligence for Assisted Diagnostics of Fracture Detection. KDH@ECAI 2020: 63-70 - [c21]Laura Jamieson, Carlos Francisco Moreno-García, Eyad Elyan:
Deep Learning for Text Detection and Recognition in Complex Engineering Diagrams. IJCNN 2020: 1-7 - [c20]Carlos Francisco Moreno-García, Pamela Johnston, Bello Garkuwa:
Pixel-based layer segmentation of complex engineering drawings using convolutional neural networks. IJCNN 2020: 1-7
2010 – 2019
- 2019
- [j8]Carlos Francisco Moreno-García, Eyad Elyan, Chrisina Jayne:
New trends on digitisation of complex engineering drawings. Neural Comput. Appl. 31(6): 1695-1712 (2019) - [j7]Carlos Francisco Moreno-García, Francesc Serratosa:
Generalised median of graph correspondences. Pattern Recognit. Lett. 125: 389-395 (2019) - [c19]Carlos Francisco Moreno-García, Eyad Elyan:
Digitisation of Assets from the Oil & Gas Industry: Challenges and Opportunities. WIADAR@ICDAR 2019: 2-5 - 2018
- [c18]Eyad Elyan, Carlos Francisco Moreno-García, Chrisina Jayne:
Symbols Classification in Engineering Drawings. IJCNN 2018: 1-8 - [c17]Carlos Francisco Moreno-García:
Digital Interpretation of Sensor-Equipment Diagrams. SICSA ReaLX 2018 - [c16]Carlos Francisco Moreno-García, Francesc Serratosa:
Modelling the Generalised Median Correspondence Through an Edit Distance. S+SSPR 2018: 271-281 - 2017
- [j6]Carlos Francisco Moreno-García, Francesc Serratosa:
Correspondence consensus of two sets of correspondences through optimisation functions. Pattern Anal. Appl. 20(1): 201-213 (2017) - [j5]Carlos Francisco Moreno-García, Francesc Serratosa:
Obtaining the consensus of multiple correspondences between graphs through online learning. Pattern Recognit. Lett. 87: 79-86 (2017) - [c15]Carlos Francisco Moreno-García, Eyad Elyan, Chrisina Jayne:
Heuristics-Based Detection to Improve Text/Graphics Segmentation in Complex Engineering Drawings. EANN 2017: 87-98 - [c14]Carlos Francisco Moreno-García, Francesc Serratosa, Xiaoyi Jiang:
An Edit Distance Between Graph Correspondences. GbRPR 2017: 232-241 - 2016
- [b1]Carlos Francisco Moreno-García:
Learning the Consensus of Multiple Correspondences between Data Structures. University of Rovira i Virgili, Spain, 2016 - [j4]Carlos Francisco Moreno-García, Francesc Serratosa:
Consensus of multiple correspondences between sets of elements. Comput. Vis. Image Underst. 142: 50-64 (2016) - [j3]Carlos Francisco Moreno-García, Magaly Aceves-Martins, Francesc Serratosa:
Unsupervised Machine Learning Application to Perform a Systematic Review and Meta-Analysis in Medical Research. Computación y Sistemas 20(1) (2016) - [c13]Xavier Cortés, Francesc Serratosa, Carlos Francisco Moreno-García:
Semi-automatic pose estimation of a fleet of robots with embedded stereoscopic cameras. ETFA 2016: 1-6 - [c12]Carlos Francisco Moreno-García, Francesc Serratosa, Xavier Cortés:
Generalised Median of a Set of Correspondences Based on the Hamming Distance. S+SSPR 2016: 507-518 - [c11]Carlos Francisco Moreno-García, Xavier Cortés, Francesc Serratosa:
A Graph Repository for Learning Error-Tolerant Graph Matching. S+SSPR 2016: 519-529 - [c10]Francesc Serratosa, Xavier Cortés, Carlos Francisco Moreno-García:
Graph Edit Distance or Graph Edit Pseudo-Distance? S+SSPR 2016: 530-540 - 2015
- [j2]Carlos Francisco Moreno-García, Francesc Serratosa:
Online learning the consensus of multiple correspondences between sets. Knowl. Based Syst. 90: 49-57 (2015) - [c9]Xavier Cortés, Francesc Serratosa, Carlos Francisco Moreno-García:
Ground Truth Correspondence Between Nodes to Learn Graph-Matching Edit-Costs. CAIP (1) 2015: 113-124 - [c8]Carlos Francisco Moreno-García, Francesc Serratosa, Xavier Cortés:
Consensus of Two Graph Correspondences Through a Generalisation of the Bipartite Graph Matching. GbRPR 2015: 87-97 - [c7]Xavier Cortés, Francesc Serratosa, Carlos Francisco Moreno-García:
On the Influence of Node Centralities on Graph Edit Distance for Graph Classification. GbRPR 2015: 231-241 - [c6]Carlos Francisco Moreno-García, Xavier Cortés, Francesc Serratosa:
Iterative Versus Voting Method to Reach Consensus Given Multiple Correspondences of Two Sets. IbPRIA 2015: 530-540 - [c5]Xavier Cortés, Francesc Serratosa, Carlos Francisco Moreno-García:
An Interactive Model for Structural Pattern Recognition based on the Bayes Classifier. ICPRAM (1) 2015: 240-247 - 2014
- [j1]Carlos Francisco Moreno-García, Francesc Serratosa:
Fast and Efficient Palmprint Identification of a Small Sample within a Full Image. Computación y Sistemas 18(4) (2014) - [c4]Xavier Cortés, Carlos Francisco Moreno-García, Francesc Serratosa:
Learning Graph-Matching Substitution Costs Based on the Optimality of the Oracle's Correspondence. CIARP 2014: 506-514 - [c3]Carlos Francisco Moreno-García, Xavier Cortés, Francesc Serratosa:
Partial to Full Image Registration Based on Candidate Positions and Multiple Correspondences. CIARP 2014: 745-753 - [c2]Carlos Francisco Moreno-García, Francesc Serratosa:
Weighted Mean Assignment of a Pair of Correspondences Using Optimisation Functions. S+SSPR 2014: 301-311 - 2013
- [c1]Xavier Cortés, Carlos Francisco Moreno-García, Francesc Serratosa:
Improving the Correspondence Establishment Based on Interactive Homography Estimation. CAIP (2) 2013: 457-465
Coauthor Index
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last updated on 2024-12-10 20:49 CET by the dblp team
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